Artikel

Incomplete-information games in large populations with anonymity

The paper provides theoretical foundations for models of strategic interdependence under uncertainty that have a continuum of agents and a decomposition of uncertainty into a macro component and an agent-specific micro component, with a law of large numbers for the latter. This macro-micro decomposition of uncertainty is implied by a condition of exchangeability of agents' types, which holds at the level of the prior if and only if it also holds at the level of agents' beliefs, i.e., posteriors. Under an additional condition of anonymity in payoffs, agents' behaviors are fully determined by their beliefs about the cross-section distribution of types and other macro variables, and by their beliefs about the cross-section distribution of other agents' strategies. Any probability distribution over cross-section distributions of types and other macro variables is compatible with a fully specified belief system, but not every function from types to such probability distributions is compatible with a common prior. The paper gives necessary and sufficient conditions for compatibility of such a function with a common prior.

Language
Englisch

Bibliographic citation
Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 17 ; Year: 2022 ; Issue: 1 ; Pages: 461-506 ; New Haven, CT: The Econometric Society

Classification
Wirtschaft
Game Theory and Bargaining Theory: General
Asymmetric and Private Information; Mechanism Design
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Subject
Incomplete-information games
large populations
belief functions
common priors
exchangeability
conditional independence
conditional exact law of large numbers

Event
Geistige Schöpfung
(who)
Hellwig, Martin
Event
Veröffentlichung
(who)
The Econometric Society
(where)
New Haven, CT
(when)
2022

DOI
doi:10.3982/TE4066
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Hellwig, Martin
  • The Econometric Society

Time of origin

  • 2022

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